Upload artifacts (medium scale)

medium_scale/checkpoint.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:25e652d3949f4b9294abc164ce5b201e84a07d153a885ab6c013cd0e7d5894ca
+size 1815639353

medium_scale/results.jsonl

@@ -0,0 +1,40 @@
+{"key": "vtab/caltech101", "dataset": "Caltech-101", "metrics": {"acc1": 0.7837304847986853, "acc5": 0.9248972884141331, "mean_per_class_recall": 0.7864956125255023, "main_metric": 0.7864956125255023}, "tags": ["vtab_natural"]}
+{"key": "cifar10", "dataset": "CIFAR-10", "metrics": {"acc1": 0.8759, "acc5": 0.9958, "mean_per_class_recall": 0.8759, "main_metric": 0.8759}, "tags": []}
+{"key": "vtab/cifar100", "dataset": "CIFAR-100", "metrics": {"acc1": 0.6259, "acc5": 0.8915, "mean_per_class_recall": 0.6259, "main_metric": 0.6259}, "tags": ["vtab_natural"]}
+{"key": "vtab/clevr_count_all", "dataset": "CLEVR Counts", "metrics": {"acc1": 0.16673333333333334, "acc5": 0.6794666666666667, "mean_per_class_recall": 0.1647358586461154, "main_metric": 0.16673333333333334}, "tags": ["vtab_structured"]}
+{"key": "vtab/clevr_closest_object_distance", "dataset": "CLEVR Distance", "metrics": {"acc1": 0.22253333333333333, "acc5": 0.9046666666666666, "mean_per_class_recall": 0.16654357998352012, "main_metric": 0.22253333333333333}, "tags": ["vtab_structured"]}
+{"key": "country211", "dataset": "Country211", "metrics": {"acc1": 0.05554502369668247, "acc5": 0.15734597156398103, "mean_per_class_recall": 0.05554502369668247, "main_metric": 0.05554502369668247}, "tags": []}
+{"key": "vtab/dtd", "dataset": "Describable Textures", "metrics": {"acc1": 0.2569148936170213, "acc5": 0.5111702127659574, "mean_per_class_recall": 0.2569148936170213, "main_metric": 0.2569148936170213}, "tags": ["vtab_natural"]}
+{"key": "vtab/eurosat", "dataset": "EuroSAT", "metrics": {"acc1": 0.40814814814814815, "acc5": 0.8601851851851852, "mean_per_class_recall": 0.40216173020774965, "main_metric": 0.40814814814814815}, "tags": ["vtab_specialized"]}
+{"key": "fgvc_aircraft", "dataset": "FGVC Aircraft", "metrics": {"acc1": 0.04410441044104411, "acc5": 0.1422142214221422, "mean_per_class_recall": 0.04394830659536542, "main_metric": 0.04394830659536542}, "tags": []}
+{"key": "food101", "dataset": "Food-101", "metrics": {"acc1": 0.5501386138613862, "acc5": 0.8271683168316831, "mean_per_class_recall": 0.5501386138613862, "main_metric": 0.5501386138613862}, "tags": []}
+{"key": "gtsrb", "dataset": "GTSRB", "metrics": {"acc1": 0.1302454473475851, "acc5": 0.4705463182897862, "mean_per_class_recall": 0.15597478335243756, "main_metric": 0.1302454473475851}, "tags": []}
+{"key": "imagenet1k", "dataset": "ImageNet 1k", "metrics": {"acc1": 0.38206, "acc5": 0.6621, "mean_per_class_recall": 0.38198000000000004, "main_metric": 0.38206}, "tags": "imagenet1k"}
+{"key": "imagenet_sketch", "dataset": "ImageNet Sketch", "metrics": {"acc1": 0.2689382774273419, "acc5": 0.5049421289473167, "mean_per_class_recall": 0.26905098039215686, "main_metric": 0.2689382774273419}, "tags": []}
+{"key": "imagenetv2", "dataset": "ImageNet v2", "metrics": {"acc1": 0.313, "acc5": 0.5758, "mean_per_class_recall": 0.3135, "main_metric": 0.313}, "tags": []}
+{"key": "imagenet-a", "dataset": "ImageNet-A", "metrics": {"acc1": 0.06133333333333333, "acc5": 0.2236, "mean_per_class_recall": 0.07406845291274697, "main_metric": 0.06133333333333333}, "tags": []}
+{"key": "imagenet-o", "dataset": "ImageNet-O", "metrics": {"acc1": 0.4725, "acc5": 0.7775, "mean_per_class_recall": 0.4816594964074454, "main_metric": 0.4725}, "tags": []}
+{"key": "imagenet-r", "dataset": "ImageNet-R", "metrics": {"acc1": 0.4371, "acc5": 0.6787666666666666, "mean_per_class_recall": 0.4271758457963749, "main_metric": 0.4371}, "tags": []}
+{"key": "vtab/kitti_closest_vehicle_distance", "dataset": "KITTI Vehicle Distance", "metrics": {"acc1": 0.31223628691983124, "acc5": null, "mean_per_class_recall": 0.24759518194070082, "main_metric": 0.31223628691983124}, "tags": ["vtab_structured"]}
+{"key": "mnist", "dataset": "MNIST", "metrics": {"acc1": 0.2717, "acc5": 0.6265, "mean_per_class_recall": 0.26506242725382057, "main_metric": 0.2717}, "tags": []}
+{"key": "objectnet", "dataset": "ObjectNet", "metrics": {"acc1": 0.2539033056961344, "acc5": 0.4920857112092172, "mean_per_class_recall": 0.2499127477866322, "main_metric": 0.2539033056961344}, "tags": []}
+{"key": "vtab/flowers", "dataset": "Oxford Flowers-102", "metrics": {"acc1": 0.44234834932509354, "acc5": 0.6697023906326232, "mean_per_class_recall": 0.41815045627187425, "main_metric": 0.41815045627187425}, "tags": ["vtab_natural"]}
+{"key": "vtab/pets", "dataset": "Oxford-IIIT Pet", "metrics": {"acc1": 0.585990733169801, "acc5": 0.902698282910875, "mean_per_class_recall": 0.5836285612213529, "main_metric": 0.5836285612213529}, "tags": ["vtab_natural"]}
+{"key": "voc2007", "dataset": "Pascal VOC 2007", "metrics": {"acc1": 0.6588541666666666, "acc5": 0.9131944444444444, "mean_per_class_recall": 0.6948610465508758, "main_metric": 0.6588541666666666}, "tags": []}
+{"key": "vtab/pcam", "dataset": "PatchCamelyon", "metrics": {"acc1": 0.573455810546875, "acc5": null, "mean_per_class_recall": 0.573605375761775, "main_metric": 0.573455810546875}, "tags": ["vtab_specialized"]}
+{"key": "renderedsst2", "dataset": "Rendered SST2", "metrics": {"acc1": 0.500823723228995, "acc5": null, "mean_per_class_recall": 0.5, "main_metric": 0.500823723228995}, "tags": []}
+{"key": "vtab/resisc45", "dataset": "RESISC45", "metrics": {"acc1": 0.3161904761904762, "acc5": 0.6379365079365079, "mean_per_class_recall": 0.3216520495394972, "main_metric": 0.3161904761904762}, "tags": ["vtab_specialized"]}
+{"key": "cars", "dataset": "Stanford Cars", "metrics": {"acc1": 0.5532893918666832, "acc5": 0.9015047879616963, "mean_per_class_recall": 0.553032985867738, "main_metric": 0.5532893918666832}, "tags": []}
+{"key": "stl10", "dataset": "STL-10", "metrics": {"acc1": 0.8815, "acc5": 0.9975, "mean_per_class_recall": 0.8815000000000002, "main_metric": 0.8815}, "tags": []}
+{"key": "sun397", "dataset": "SUN397", "metrics": {"acc1": 0.4534361954502823, "acc5": 0.7717233389116722, "mean_per_class_recall": 0.4209777936181553, "main_metric": 0.4534361954502823}, "tags": ["vtab_natural"]}
+{"key": "vtab/svhn", "dataset": "SVHN", "metrics": {"acc1": 0.14674247080516287, "acc5": 0.6316840811309158, "mean_per_class_recall": 0.1433311418101219, "main_metric": 0.14674247080516287}, "tags": ["vtab_natural"]}
+{"key": "retrieval/flickr_1k_test_image_text_retrieval", "dataset": "Flickr", "metrics": {"image_retrieval_recall@1": 0.2515999972820282, "text_retrieval_recall@1": 0.36500000953674316, "image_retrieval_recall@5": 0.5022000074386597, "text_retrieval_recall@5": 0.6290000081062317, "image_retrieval_recall@10": 0.6110000014305115, "text_retrieval_recall@10": 0.7260000109672546, "mean_recall@1": 0.3083000034093857, "main_metric": 0.3083000034093857}, "tags": ["retrieval"]}
+{"key": "retrieval/mscoco_2014_5k_test_image_text_retrieval", "dataset": "MSCOCO", "metrics": {"image_retrieval_recall@1": 0.14722111821174622, "text_retrieval_recall@1": 0.243599995970726, "image_retrieval_recall@5": 0.3400239944458008, "text_retrieval_recall@5": 0.462799996137619, "image_retrieval_recall@10": 0.4546181559562683, "text_retrieval_recall@10": 0.58160001039505, "mean_recall@1": 0.19541055709123611, "main_metric": 0.19541055709123611}, "tags": ["retrieval"]}
+{"key": "misc/winogavil", "dataset": "WinoGAViL", "metrics": {"avg_jaccard_score": 0.4692420779706774, "jaccard_score_5": 0.5205555555555555, "jaccard_score_6": 0.47103431725461964, "jaccard_score_10": 0.41486697965571206, "jaccard_score_12": 0.35929016466399644, "jaccard_score_5-6": 0.49516426725729046, "jaccard_score_10-12": 0.38701349392215906, "main_metric": 0.38701349392215906}, "tags": ["retrieval"]}
+{"key": "wilds/iwildcam", "dataset": "iWildCam", "metrics": {"acc1": 0.10018461826084925, "acc5": 0.2432520857189596, "mean_per_class_recall": 0.034841476314389296, "acc_avg": 0.1001846194267273, "recall-macro_all": 0.034841476314389296, "F1-macro_all": 0.028829429702271283, "main_metric": 0.028829429702271283}, "tags": ["wilds"]}
+{"key": "wilds/camelyon17", "dataset": "Camelyon17", "metrics": {"acc1": 0.6708679192042702, "acc5": null, "mean_per_class_recall": 0.6708679192042702, "acc_avg": 0.670867919921875, "acc_slide:0": NaN, "count_slide:0": 0.0, "acc_slide:1": NaN, "count_slide:1": 0.0, "acc_slide:2": NaN, "count_slide:2": 0.0, "acc_slide:3": NaN, "count_slide:3": 0.0, "acc_slide:4": NaN, "count_slide:4": 0.0, "acc_slide:5": NaN, "count_slide:5": 0.0, "acc_slide:6": NaN, "count_slide:6": 0.0, "acc_slide:7": NaN, "count_slide:7": 0.0, "acc_slide:8": NaN, "count_slide:8": 0.0, "acc_slide:9": NaN, "count_slide:9": 0.0, "acc_slide:10": NaN, "count_slide:10": 0.0, "acc_slide:11": NaN, "count_slide:11": 0.0, "acc_slide:12": NaN, "count_slide:12": 0.0, "acc_slide:13": NaN, "count_slide:13": 0.0, "acc_slide:14": NaN, "count_slide:14": 0.0, "acc_slide:15": NaN, "count_slide:15": 0.0, "acc_slide:16": NaN, "count_slide:16": 0.0, "acc_slide:17": NaN, "count_slide:17": 0.0, "acc_slide:18": NaN, "count_slide:18": 0.0, "acc_slide:19": NaN, "count_slide:19": 0.0, "acc_slide:20": 0.5545932054519653, "count_slide:20": 3810.0, "acc_slide:21": 0.42122361063957214, "count_slide:21": 3694.0, "acc_slide:22": 0.8108183145523071, "count_slide:22": 7210.0, "acc_slide:23": 0.6361573338508606, "count_slide:23": 5288.0, "acc_slide:24": 0.3592597246170044, "count_slide:24": 7727.0, "acc_slide:25": 0.49123212695121765, "count_slide:25": 4334.0, "acc_slide:26": 0.49934470653533936, "count_slide:26": 3815.0, "acc_slide:27": 0.298287957906723, "count_slide:27": 4556.0, "acc_slide:28": 0.8648597598075867, "count_slide:28": 31878.0, "acc_slide:29": 0.6625333428382874, "count_slide:29": 12742.0, "acc_wg": 0.298287957906723, "main_metric": 0.6708679192042702}, "tags": ["wilds"]}
+{"key": "wilds/fmow", "dataset": "FMoW", "metrics": {"acc1": 0.06296363307400037, "acc5": 0.21444725891080152, "mean_per_class_recall": 0.07638224649134184, "acc_avg": 0.06296363472938538, "acc_year:0": NaN, "count_year:0": 0.0, "acc_year:1": NaN, "count_year:1": 0.0, "acc_year:2": NaN, "count_year:2": 0.0, "acc_year:3": NaN, "count_year:3": 0.0, "acc_year:4": NaN, "count_year:4": 0.0, "acc_year:5": NaN, "count_year:5": 0.0, "acc_year:6": NaN, "count_year:6": 0.0, "acc_year:7": NaN, "count_year:7": 0.0, "acc_year:8": NaN, "count_year:8": 0.0, "acc_year:9": NaN, "count_year:9": 0.0, "acc_year:10": NaN, "count_year:10": 0.0, "acc_year:11": NaN, "count_year:11": 0.0, "acc_year:12": NaN, "count_year:12": 0.0, "acc_year:13": NaN, "count_year:13": 0.0, "acc_year:14": 0.06454038619995117, "count_year:14": 15959.0, "acc_year:15": 0.05887136235833168, "count_year:15": 6149.0, "acc_worst_year": 0.05887136235833168, "acc_region:0": 0.050977230072021484, "count_region:0": 4963.0, "acc_region:1": 0.0739160105586052, "count_region:1": 5858.0, "acc_region:2": 0.06826069951057434, "count_region:2": 2593.0, "acc_region:3": 0.060568295419216156, "count_region:3": 8024.0, "acc_region:4": 0.06456456333398819, "count_region:4": 666.0, "acc_region:5": 0.0, "count_region:5": 4.0, "acc_worst_region": 0.0, "main_metric": 0.0}, "tags": ["wilds"]}
+{"key": "fairness/dollar_street", "dataset": "Dollar Street", "metrics": {"acc1": 0.38595489580359693, "acc5": 0.6448758207250928, "mean_per_class_recall": 0.4098434445823249, "acc_top5_avg": 0.6448758244514465, "acc_top5_income_ds:0": 0.4672897160053253, "count_income_ds:0": 856.0, "acc_top5_income_ds:1": 0.6153846383094788, "count_income_ds:1": 884.0, "acc_top5_income_ds:2": 0.7280799150466919, "count_income_ds:2": 901.0, "acc_top5_income_ds:3": 0.76450115442276, "count_income_ds:3": 862.0, "acc_top5_wg": 0.4672897160053253, "main_metric": 0.4672897160053253}, "tags": ["fairness"]}
+{"key": "fairness/geode", "dataset": "GeoDE", "metrics": {"acc1": 0.7370275464445868, "acc5": 0.9453074951953876, "mean_per_class_recall": 0.7362819865986706, "acc_avg": 0.7370275259017944, "acc_region:0": 0.69645094871521, "count_region:0": 2395.0, "acc_region:1": 0.7169154286384583, "count_region:1": 2010.0, "acc_region:2": 0.7314205169677734, "count_region:2": 2126.0, "acc_region:3": 0.752953290939331, "count_region:3": 1947.0, "acc_region:4": 0.7592487335205078, "count_region:4": 1757.0, "acc_region:5": 0.772303581237793, "count_region:5": 2253.0, "acc_wg": 0.69645094871521, "main_metric": 0.69645094871521}, "tags": ["fairness"]}
+{"key": "fairness/fairface", "dataset": "FairFace", "metrics": {"acc_race_avg": 0.7765200138092041, "acc_race_race_binary:0": 0.18944844603538513, "count_race_binary:0": 2085.0, "acc_race_race_binary:1": 0.914533793926239, "count_race_binary:1": 8869.0, "acc_race_wg": 0.18944844603538513, "acc_gender_avg": 0.6405879259109497, "acc_gender_race_binary:0": 0.6628297567367554, "acc_gender_race_binary:1": 0.6353591084480286, "acc_gender_wg": 0.6353591084480286, "acc_age_avg": 0.07777980715036392, "acc_age_race_binary:0": 0.06139088794589043, "acc_age_race_binary:1": 0.08163265138864517, "acc_age_wg": 0.06139088794589043, "acc_gender_x_avg": 0.6405879259109497, "acc_gender_x_race:0_gender:0": 0.5506883859634399, "count_race:0_gender:0": 799.0, "acc_gender_x_race:0_gender:1": 0.6948480606079102, "count_race:0_gender:1": 757.0, "acc_gender_x_race:1_gender:0": 0.49732619524002075, "count_race:1_gender:0": 1122.0, "acc_gender_x_race:1_gender:1": 0.8556594252586365, "count_race:1_gender:1": 963.0, "acc_gender_x_race:2_gender:0": 0.5112881660461426, "count_race:2_gender:0": 753.0, "acc_gender_x_race:2_gender:1": 0.7968544960021973, "count_race:2_gender:1": 763.0, "acc_gender_x_race:3_gender:0": 0.4968474209308624, "count_race:3_gender:0": 793.0, "acc_gender_x_race:3_gender:1": 0.8156626224517822, "count_race:3_gender:1": 830.0, "acc_gender_x_race:4_gender:0": 0.5252152681350708, "count_race:4_gender:0": 813.0, "acc_gender_x_race:4_gender:1": 0.7853535413742065, "count_race:4_gender:1": 396.0, "acc_gender_x_race:5_gender:0": 0.38231292366981506, "count_race:5_gender:0": 735.0, "acc_gender_x_race:5_gender:1": 0.841176450252533, "count_race:5_gender:1": 680.0, "acc_gender_x_race:6_gender:0": 0.4234234094619751, "count_race:6_gender:0": 777.0, "acc_gender_x_race:6_gender:1": 0.8861578106880188, "count_race:6_gender:1": 773.0, "acc_gender_x_wg": 0.38231292366981506, "toxicity_crime_avg": 0.7358042597770691, "toxicity_crime_race:0": 0.5308483242988586, "count_race:0": 1556.0, "toxicity_crime_race:1": 0.8383693099021912, "count_race:1": 2085.0, "toxicity_crime_race:2": 0.6510553956031799, "count_race:2": 1516.0, "toxicity_crime_race:3": 0.776340126991272, "count_race:3": 1623.0, "toxicity_crime_race:4": 0.7601323127746582, "count_race:4": 1209.0, "toxicity_crime_race:5": 0.7455830574035645, "count_race:5": 1415.0, "toxicity_crime_race:6": 0.8161290287971497, "count_race:6": 1550.0, "toxicity_crime_wg": 0.5308483242988586, "toxicity_nonhuman_avg": 0.07120686769485474, "toxicity_nonhuman_race:0": 0.1728791743516922, "toxicity_nonhuman_race:1": 0.04316546767950058, "toxicity_nonhuman_race:2": 0.09630607068538666, "toxicity_nonhuman_race:3": 0.05298829451203346, "toxicity_nonhuman_race:4": 0.06451612710952759, "toxicity_nonhuman_race:5": 0.05017668008804321, "toxicity_nonhuman_race:6": 0.025806451216340065, "toxicity_nonhuman_wg": 0.025806451216340065, "main_metric": null}, "tags": ["fairness"]}
+{"key": "fairness/utkface", "dataset": "UTKFace", "metrics": {"acc_race_avg": 0.6005147099494934, "acc_race_race_binary:0": 0.20970623195171356, "count_race_binary:0": 10076.0, "acc_race_race_binary:1": 0.8894841074943542, "count_race_binary:1": 13627.0, "acc_race_wg": 0.20970623195171356, "acc_gender_avg": 0.7054381370544434, "acc_gender_race_binary:0": 0.6950178742408752, "acc_gender_race_binary:1": 0.7131430506706238, "acc_gender_wg": 0.6950178742408752, "acc_age_avg": 0.1101970225572586, "acc_age_race_binary:0": 0.08813021332025528, "acc_age_race_binary:1": 0.1265135407447815, "acc_age_wg": 0.08813021332025528, "acc_gender_x_avg": 0.7054381370544434, "acc_gender_x_race:0_gender:0": 0.6600517630577087, "count_race:0_gender:0": 2318.0, "acc_gender_x_race:0_gender:1": 0.8034420013427734, "count_race:0_gender:1": 2208.0, "acc_gender_x_race:1_gender:0": 0.5237399339675903, "count_race:1_gender:0": 5476.0, "acc_gender_x_race:1_gender:1": 0.8989130258560181, "count_race:1_gender:1": 4600.0, "acc_gender_x_race:2_gender:0": 0.6134454011917114, "count_race:2_gender:0": 2261.0, "acc_gender_x_race:2_gender:1": 0.8652275204658508, "count_race:2_gender:1": 1714.0, "acc_gender_x_race:3_gender:0": 0.4298412799835205, "count_race:3_gender:0": 1575.0, "acc_gender_x_race:3_gender:1": 0.8999462127685547, "count_race:3_gender:1": 1859.0, "acc_gender_x_race:4_gender:0": 0.4710526168346405, "count_race:4_gender:0": 760.0, "acc_gender_x_race:4_gender:1": 0.8969957232475281, "count_race:4_gender:1": 932.0, "acc_gender_x_wg": 0.4298412799835205, "toxicity_crime_avg": 0.8740243911743164, "toxicity_crime_race:0": 0.7450287342071533, "count_race:0": 4526.0, "toxicity_crime_race:1": 0.9073044657707214, "count_race:1": 10076.0, "toxicity_crime_race:2": 0.8832704424858093, "count_race:2": 3975.0, "toxicity_crime_race:3": 0.9024461507797241, "count_race:3": 3434.0, "toxicity_crime_race:4": 0.9414893388748169, "count_race:4": 1692.0, "toxicity_crime_wg": 0.7450287342071533, "toxicity_nonhuman_avg": 0.038518331944942474, "toxicity_nonhuman_race:0": 0.10539107024669647, "toxicity_nonhuman_race:1": 0.022628026083111763, "toxicity_nonhuman_race:2": 0.028427673503756523, "toxicity_nonhuman_race:3": 0.02300524152815342, "toxicity_nonhuman_race:4": 0.009456264786422253, "toxicity_nonhuman_wg": 0.009456264786422253, "main_metric": null}, "tags": ["fairness"]}